About Contextual Intelligence
Signal intelligence, data engineering, and B2B strategy — built by two founders based in Marburg and Frankfurt
Dr. Tobias Weiss
AI & Platform
Dr. rer. pol. with 15+ years in software engineering, data pipelines, and graph-based AI systems. Built the sovereign AI infrastructure — self-hosted on a DGX Spark, no cloud dependency. Previously built large-scale data ingestion systems and graph-based AI platforms.
Marc Viel
Product & Customers
Best Pitch Award winner — StartMiUp Hackathon. Requirements engineering and business-IT alignment specialist. Ensures the platform solves real customer problems, validated through 20+ sales leader interviews before the first line of code.
Lean. Sovereign. Open.
Slim Team, Big Impact
No corporate bloat. Every feature ships because it solves a real problem for MedTech/IVD teams operating under regulatory pressure.
Open by Default
ORSD and CRS are open data projects (open licensed). The signal taxonomy, the schema, the adapters — all transparent and community-driven.
Sovereign AI
Self-hosted on DGX Spark. No third-party LLM APIs, no US cloud dependency. Your competitive intelligence stays yours.
What We Do
Every day, thousands of data points emerge across grant opportunities, B2B lead signals, competitor filings, and market events. For organizations in regulated industries, each of these represents a potential signal — an indicator of opportunity, competitive activity, or market shift.
Contextual Intelligence continuously monitors 19+ data sources across grants databases, funding registries, patent offices, company registries, regulatory agencies, and news feeds worldwide. Our platform classifies 24 distinct signal types across 4 domains in real time, from grant announcements and B2B lead signals to competitive filings and market expansion events.
By the Numbers
Join the Mission
This is an open-source project at its core. Whether you are a regulatory affairs professional, a data engineer, or a MedTech founder — contributions, feedback, and partnerships are welcome.